| Literature DB >> 35604506 |
Diane L Costanzo-Garvey1, Adam J Case2,3, Gabrielle F Watson4, Massar Alsamraae1, Arpita Chatterjee5, Rebecca E Oberley-Deegan5, Samikshan Dutta5, Maher Y Abdalla1, Tammy Kielian1, Merry L Lindsey4, Leah M Cook6.
Abstract
Bone metastatic prostate cancer (BM-PCa) remains one of the most difficult cancers to treat due to the complex interactions of cancer and stromal cells. We previously showed that bone marrow neutrophils elicit an anti-tumor immune response against BM-PCa. Further, we demonstrated that BM-PCa induces neutrophil oxidative burst, which has previously been identified to promote primary tumor growth of other cancers, and a goal of this study was to define the importance of neutrophil oxidative burst in BM-PCa. To do this, we first examined the impact of depletion of reactive oxygen species (ROS), via systemic deletion of the main source of ROS in phagocytes, NADPH oxidase (Nox)2, which we found to suppress prostate tumor growth in bone. Further, using pharmacologic ROS inhibitors and Nox2-null neutrophils, we found that ROS depletion specifically suppresses growth of androgen-insensitive prostate cancer cells. Upon closer examination using bulk RNA sequencing analysis, we identified that metastatic prostate cancer induces neutrophil transcriptomic changes that activates pathways associated with response to oxidative stress. In tandem, prostate cancer cells resist neutrophil anti-tumor response via extracellular (i.e., regulation of neutrophils) and intracellular alterations of glutathione synthesis, the most potent cellular antioxidant. These findings demonstrate that BM-PCa thrive under oxidative stress conditions and such that regulation of ROS and glutathione programming could be leveraged for targeting of BM-PCa progression.Entities:
Keywords: Bone; Metabolism; Metastasis; Neutrophils; Prostate cancer; Reactive oxygen species
Mesh:
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Year: 2022 PMID: 35604506 PMCID: PMC9338904 DOI: 10.1007/s10585-022-10170-x
Source DB: PubMed Journal: Clin Exp Metastasis ISSN: 0262-0898 Impact factor: 4.510
Fig. 1The role of ROS in BM-PCa progression. A Hydrogen peroxide (H2O2) detection via Amplex Red assay in primary bone-derived mouse neutrophils incubated 3 h with LNCaP, C42B or PC3 CM. Graph shows micromolar (μm) concentration of H2O2 per well. B H2O2 detection via Amplex Red assay from neutrophils after direct co-culture with prostate cancer cells. Neutrophils were removed from co-culture and washed with PBS after 5 h of contact with cancer cells. Neutrophils were then resuspended in PBS with the addition of amplex red reagent, and secreted H2O2 detection monitored using the Tecan plate reader; n = 3 for each cell line per experiment. Graph shows concentration of H2O2 per well. Data are represented as mean ± SEM. Statistical analysis per two way ANOVA with p-values as follows: *p < 0.05, ****p < 0.0001. C Representative bioluminescent images of tumor burden (left) and quantitation (right) of relative luminescent intensity after normalizing luminescence to Day 1 post injection of tumor cells. D Faxitron X-ray images (left) and quantitation (right) measuring percent tumor-induced bone osteolysis in tibia marrow, using ImageJ software to quantify osteolysis. E Quantitation of L-012, a bioluminescence indicator of ROS, relative luminescent intensity (RLU) to tumor burden per mouse; measurement was taken one day prior to the end of study. n = 3 mice per group. F Tumor naïve or TANs were isolated from mouse tibia using negative selection (MojoSort). Ex vivo assays were plated in triplicates per mouse. Direct co-culture of tumor naiive and TANs with RM1-luc-RFP cells incubated overnight (~ 16 h). After incubation, cancer cell number was assessed via trypan blue exclusion. Graph shows remaining cancer cell number. (G) Amplex Red assay of basal extracellular ROS levels in TANs isolated from tumor study. Cells were incubated in PBS with amplex red reagent for 30 min and secreted H2O2 detection monitored using the Tecan plate reader. Data are represented as mean ± SEM. Statistical analysis per one ANOVA with p-values as follows: *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001
Fig. 2Impact of pharmacological and genetic inhibition of neutrophil Nox2 on neutrophil-induced prostate cancer cell death. A C42B and PC3 or B RM1 and PAIII cancer cells cultured overnight with primary bone-marrow derived mouse wildtype Nox2 (Nox2) and Nox2-null (Nox2) neutrophils, in a 10:1 ratio of neutrophils to cancer cells. Graphs represent total cells remaining after trypan blue exclusion. C C42B and PC3 cancer cells cultured overnight with primary bone-marrow derived mouse WT neutrophils that were pre-treated for ~ 60 min with apocynin (100 μm) or D NAC (5 mM), inhibitor removed, and neutrophils added directly to cancer cells overnight (16 h). Graphs represent total cancer cells remaining after trypan blue exclusion; n = 3 per cell line, per experiment. Data are represented as mean ± SEM. Statistical analysis per two way ANOVA with p-values as follows: *p < 0.05, **p < 0.01, ***p < 0.001
Fig. 3BM-PCa regulation of the transcriptome of bone marrow-derived neutrophils. A Heatmap of significantly regulated neutrophil genes. Color key; red shows increased gene expression per fold-change, blue represents reduced gene expression fold-change. B Gene ontology (GO) analysis of molecular function and biological processes. C Heatmap from RNA sequencing analysis of human neutrophils treated with non-metastatic LNCaP or metastatic C42B CM; specific genes are from the NRF-2 mediated Oxidative Stress Response pathway as identified by IPA secondary analysis. Color key; red shows increased gene expression per fold-change, blue represents reduced gene expression fold-change. D Antioxidant enzymes or E glutathione specific markers from RNA sequencing data. Graphs show expression levels as transcripts per million (TPM); n = 3 per prostate cancer CM. Data are represented as mean ± SEM. Statistical analysis per two-way ANOVA with p-values as follows: *p < 0.05, **p < 0.01, ****p < 0.0001
Top ten predicted upstream regulators of neutrophil gene regulation in response to prostate cancer CM treatment
| Upstream regulator | Expr false discovery rate (q-value) | p-value of overlap | Target molecules in dataset |
|---|---|---|---|
| 6.38E−01 | 4.11E−10 | ANXA1, ARID4B, ATG4B, ATP1B1, ATXN1, BAG2, BAG3, BAG4, CARD14, CARD6 | |
| 3.92E−01 | 3.77E−06 | ABCC5, ABLIM1, BAZ2A, C18orf25, CCL20, CD55, CDKN1A, CNOT4, CRKL, CXCL3 | |
| 6.51E−01 | 1.02E−05 | CCND2, CCT3, CDKN1A, CSDE1, CTDSP1, DLEU1, EIF4E, EIF4G1, ENO1, FOSL1 | |
| 4.63E−02 | 1.81E−05 | CDKN1A, CEACAM1, CLEC2B, EVI2A, GLRX, GPR18, HSP90AA1, HSPA8, ILF3, LRRN3 | |
| 2.99E−01 | 2.85E−05 | BNIP3, CCN2, CDC42EP3, CDKN1A, JAG1, LEMD3, PSMD11, SGK1 | |
| 2.45E−01 | 4.20E−05 | ACSL3, AEN, AHSA1, ANXA1, AQP3, ARL6IP1, ATF3, BIK, BNIP3, CCN2 | |
| 3.52E−02 | 4.82E−05 | CAB39, CCL20, CCN2, CDC42EP3, CDK17, CDKN1A, CITED2, DAXX, JAG1, LEMD3 | |
| 6.29E−05 | CDKN1A, ENO1, GAPDH, HK2, LDHA, PKM, TPI1 | ||
| 6.17E−01 | 1.04E−04 | CA2, CREM, CXCL2, CXCL8, PIK3C3, RAP1B, RCAN1 | |
| 9.98E−01 | 1.14E−04 | ANXA1, ARG1, BCL2A1, BIK, CA2, CCND2, CD3G, CDKN1A, CXCL8, CXCR4 |
Ingenuity Pathway Analysis predicted upstream regulators of neutrophils treated with C42B compared to LNCaP CM. Table shows upstream regulator, associated statistical power and downstream target molecules altered within the RNAseq dataset
Fig. 4Prostate cancer induces changes in neutrophil glutathione metabolism. A Glutathione assay of Nox2 and Nox2 neutrophils treated with prostate cancer CM for 3 h. Neutrophils were rinsed and resuspended in PBS, and added to a 96 well plate with glutathione reagents to detect reduced glutathione (GSH) and oxidized glutathione (GSSG). B Glutathione assay of neutrophils after 3 h direct culture with prostate cancer cells. Neutrophils were removed from cancer cells, rinsed and resuspended in PBS and assay performed as stated above. Graphs show ratio of reduced glutathione (GSH) to oxidated glutathione (GSSG) as a measure of overall glutathione metabolism. C Glutathione assay of C42B and PC3 cells after culture with neutrophils for 16 h (left) and 3 h (right). Neutrophils were removed from co-culture and remaining cancer cells were incubated in PBS with glutathione assay reagents. Graphs show ratio of reduced glutathione (GSH) to oxidated glutathione (GSSG) as a measure of overall glutathione metabolism. n = 3 replicates per cell line. Data are represented as mean ± SEM. Statistical analysis per two way ANOVA with p-values as follows: *p < 0.05,** p < 0.01,***p < 0.001, ****p < 0.0001
Fig. 5Prostate cancer glutathione synthesis impacts neutrophil-induced cell death. A Glutathione assay of C42B, PC3 and RM1 cells. Cells were plated at similar densities in a 96 well opaque plate. 48 h later, media was removed and cells were incubated in PBS with glutathione assay reagents. Cell number was assessed to normalize data. Data displayed as ratio of GSH:GSSG per 10,000 cells. B Amplex red assay measurement of prostate cancer extracellular H2O2. C Co-culture of C42B (left) and PC3 (right) with primary Nox2 and Nox2 neutrophils. Prostate cancer cells were treated with 100uM BSO for 24 h, and BSO removed prior to adding neutrophils for 24 h. Graph depicts cancer cell counts after overnight incubation with neutrophils. Cancer cell number was quantified using Trypan Blue exclusion assay. n = 3 replicates per cell line. Data are represented as mean ± SEM. Statistical analysis per one-way or two-way ANOVA with p-values as follows: *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001